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![Markov inequality: If X 20 and a > 0, then P(x E[X] as Let X be the number of automobiles sold And, EX = 16 Calculate upper b](http://img.homeworklib.com/questions/4a74bb20-74b6-11ec-9ca1-e9a7625152a8.png?x-oss-process=image/resize,w_560)
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The number of automobiles sold weekly at a certain car dealership os a random variable with...
(1 point) A car dealership claims to give customers a median trade-in offer of at least...
(1 point) A car dealership claims to give customers a median trade-in offer of at least 3700 dollars. A random sample of 115 transactions revealed that the trade-in offer for 48 automobiles was less than 3700 dollars and the trade-in offer for 67 automobiles was more than 3700 dollars. At the 0.005 significance level, test the dealership's claim. The test statistic is The critical value is The conclusion is A. There is not sufficient evidence to reject the claim of...
6. The gross weekly sales at a certain super market are a Gaussian random with mean...
6. The gross weekly sales at a certain super market are a Gaussian random with mean $2200 and standard deviation $230. Assume that the sales from week to week are independent. (a) Find the probability that the gross sales over the next two weeks exceed $5000. (b) Find the probability that the gross weekly sales exceed $2000 in at least 2 of the next 3 weeks.
6. The gross weekly sales at a certain super market are a Gaussian random with mean...
6. The gross weekly sales at a certain super market are a Gaussian random with mean $2200 and standard deviation $230. Assume that the sales from week to week are independent. (a) Find the probability that the gross sales over the next two weeks exceed $5000. (b) Find the probability that the gross weekly sales exceed $2000 in at least 2 of the next 3 weeks. 7. Let X1, X3, X, and X4 be pairwise uncorrelated random variables each with...
table shows the number of cars sold last month by seven employees at a car dealership...
table shows the number of cars sold last month by seven employees at a car dealership and their number o regression analysis to estimate monthly car sales using the number of years of sales experience. What is the total sum of squares for this sample? EEE Click the icon to view the number of cars sold O A 7083 OB, 5371 C.8350 O D. 63.33
Help I. Over the past 300 days, DiCarlo has experienced 54 days with no automobiles sold,...
Help
I. Over the past 300 days, DiCarlo has experienced 54 days with no automobiles sold, 117 days with 1 automobile sold, 72 days with 2 automobiles sold, 42 days with 3 automobiles sold, 12 days with 4 automobiles sold, and 3 days with 5 automobiles sold. Suppose we consider the experiment of observing a day of operations at DiCarlo Motors and define the random variable of interest as x the number of automobiles sold during a day. a) Use...
3. The number of earthquakes per year in a certain region is a Poison random variable....
3. The number of earthquakes per year in a certain region is a Poison random variable. The probability that no earthquake occurs in a given year in the region is 0.86. Find the probability that at least 2 carthquak es occur in a given year.
The random variable x is the number of houses sold by a realtor in a single...
The random variable x is the number of houses sold by a realtor in a single month at the Sendersom's Real Estate office. Its probability distribution is as follows. Houses Sold (x) P(x) 0.001 0.015 0.088 0.264 0.396 0.237 Find the probability of getting at least three houses sold? .897 O O O O C
A car agency sells 50% of its inventory of a certain foreign car equipped with airbags....
A car agency sells 50% of its inventory of a certain foreign car equipped with airbags. 1. Find a formula (or a table) for the probability distribution of the number of cars with airbags among the next 4 cars sold by the agency. 2. Find the cumulative distribution function F(x) of the random variable X defined above. 3. Using F(x), verify that f(2)=3/8 in this case.
A dealership has new and used cars and trucks. The following matrices give the number of...
A dealership has new and used cars and trucks. The following matrices give the number of vehicles sold in January, February, and March. Write a matrix that expresses the average vehicle sales for the first quarter of the year. New January Cars Trucks 16 11 25 19 February Cars Trucks 15 15 37 25 March Cars Trucks 26 16 28 40 Used A matrix that expresses the average vehicle sales for the first quarter of the year is Enter your...
5. Thirty percent of all automobiles undergoing an emissions inspection at a certain inspection station fail...
5. Thirty percent of all automobiles undergoing an emissions inspection at a certain inspection station fail the inspection. In a random sample of 15 selected cars: (round 3 decimal places) a) Find the probability that at most five of the cars fail the inspection. b) Find the probability that at least three of the cars fail the inspection. c) Find the probability that all 15 of the cars fail the inspection. 6. Twenty-five percent of the customers of a grocery...
(1 point) A car dealership claims to give customers a median trade-in offer of at least 3700 dollars. A random sample of 115 transactions revealed that the trade-in offer for 48 automobiles was less than 3700 dollars and the trade-in offer for 67 automobiles was more than 3700 dollars. At the 0.005 significance level, test the dealership's claim. The test statistic is The critical value is The conclusion is A. There is not sufficient evidence to reject the claim of...
6. The gross weekly sales at a certain super market are a Gaussian random with mean $2200 and standard deviation $230. Assume that the sales from week to week are independent. (a) Find the probability that the gross sales over the next two weeks exceed $5000. (b) Find the probability that the gross weekly sales exceed $2000 in at least 2 of the next 3 weeks.
6. The gross weekly sales at a certain super market are a Gaussian random with mean $2200 and standard deviation $230. Assume that the sales from week to week are independent. (a) Find the probability that the gross sales over the next two weeks exceed $5000. (b) Find the probability that the gross weekly sales exceed $2000 in at least 2 of the next 3 weeks. 7. Let X1, X3, X, and X4 be pairwise uncorrelated random variables each with...
table shows the number of cars sold last month by seven employees at a car dealership and their number o regression analysis to estimate monthly car sales using the number of years of sales experience. What is the total sum of squares for this sample? EEE Click the icon to view the number of cars sold O A 7083 OB, 5371 C.8350 O D. 63.33
Help
I. Over the past 300 days, DiCarlo has experienced 54 days with no automobiles sold, 117 days with 1 automobile sold, 72 days with 2 automobiles sold, 42 days with 3 automobiles sold, 12 days with 4 automobiles sold, and 3 days with 5 automobiles sold. Suppose we consider the experiment of observing a day of operations at DiCarlo Motors and define the random variable of interest as x the number of automobiles sold during a day. a) Use...
3. The number of earthquakes per year in a certain region is a Poison random variable. The probability that no earthquake occurs in a given year in the region is 0.86. Find the probability that at least 2 carthquak es occur in a given year.
The random variable x is the number of houses sold by a realtor in a single month at the Sendersom's Real Estate office. Its probability distribution is as follows. Houses Sold (x) P(x) 0.001 0.015 0.088 0.264 0.396 0.237 Find the probability of getting at least three houses sold? .897 O O O O C
A dealership has new and used cars and trucks. The following matrices give the number of vehicles sold in January, February, and March. Write a matrix that expresses the average vehicle sales for the first quarter of the year. New January Cars Trucks 16 11 25 19 February Cars Trucks 15 15 37 25 March Cars Trucks 26 16 28 40 Used A matrix that expresses the average vehicle sales for the first quarter of the year is Enter your...
5. Thirty percent of all automobiles undergoing an emissions inspection at a certain inspection station fail the inspection. In a random sample of 15 selected cars: (round 3 decimal places) a) Find the probability that at most five of the cars fail the inspection. b) Find the probability that at least three of the cars fail the inspection. c) Find the probability that all 15 of the cars fail the inspection. 6. Twenty-five percent of the customers of a grocery...
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